Chainlit vs LangChain
Side-by-side comparison of two AI agent tools
Short answer
- LangChain has had no commit in 32 months; Chainlit is actively maintained (15 commits in the last 90 days).
- Chainlit is growing faster: +107 GitHub stars in the last 30 days vs +2 for LangChain.
- Pick Chainlit for: build Conversational AI in minutes. Pick LangChain for: reference implementations of several LangChain agents as Streamlit apps.
From GitHub data refreshed daily.
Chainlitopen-source
Build Conversational AI in minutes ⚡️
LangChainopen-source
Reference implementations of several LangChain agents as Streamlit apps
Metrics
| Chainlit | LangChain | |
|---|---|---|
| Stars | 12.5k | 1.6k |
| Star velocity /mo | 106.73684210526316 | 2.2105263157894735 |
| Commits (90d) | 15 | 0 |
| Releases (6m) | 3 | 0 |
| Downloads (30d, npm + PyPI) | 567.6K | — |
| Overall score | 0.47092135604155366 | 0.16744302204886327 |
Pros
- +极快的开发速度 - 真正实现分钟级构建而非周级开发，通过简单的装饰器语法快速创建生产就绪的应用程序
- +Python 原生支持 - 专为 Python 生态系统设计，与现有 Python AI/ML 工具栈无缝集成，支持异步操作
- +活跃的社区和资源 - 拥有 11817 GitHub 星标、完整文档、示例代码库和 Discord 社区支持
- +Multiple complete, working examples covering diverse agent patterns from basic chat to complex document Q&A systems
- +Ready-to-deploy Streamlit applications with live demos available for immediate testing and exploration
- +Demonstrates best practices for LangChain-Streamlit integration including callback handling, memory management, and user feedback collection
Cons
- -社区维护状态 - 原开发团队已于 2025 年 5 月退出，现为社区维护，可能影响长期支持和新功能开发速度
- -Python 限制 - 仅支持 Python 开发，对于需要多语言支持或非 Python 技术栈的项目不适用
- -Some examples use potentially unsafe tools like PythonAstREPLTool that are vulnerable to arbitrary code execution
- -Limited to the LangChain ecosystem and may not showcase integration with other agent frameworks or libraries
- -Most examples require external API keys and services to run fully, creating setup barriers for immediate testing
Use Cases
- •快速原型开发 - 为 AI 初创公司或研究项目快速构建会话式 AI 原型和 MVP
- •企业 AI 助手 - 构建内部使用的客服机器人、知识库查询助手或业务流程自动化工具
- •教育和演示应用 - 创建用于教学或展示 AI 能力的交互式会话应用程序
- •Rapid prototyping of conversational AI agents with interactive web interfaces for testing and demonstration
- •Building document Q&A systems that can chat about custom content and provide contextual answers from uploaded files
- •Creating natural language interfaces for database queries and data analysis tools
FAQ
- Which is more popular, Chainlit or LangChain?
- Chainlit has more GitHub stars (12,493 vs 1,644).
- Which is more actively developed, Chainlit or LangChain?
- Chainlit had more commits in the last 90 days (15 vs 0).
- Should I use Chainlit or LangChain?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.